BACKGROUND Conventional methods for writing case notes detailing the progress of oral lichen planus (OLP), a precancerous condition that requires long-term surveillance, is both time-consuming and tedious for the busy clinician. OBJECTIVES To design and perform a simple surveillance on OLP patients based on colour-coded topography mouth maps (TMM). MATERIALS AND METHODS Three colour-coded T...

Stomata regulate gas exchange through the aerial plant epidermis by controlling the width of a pore bordered by two guard cells. Little is known about the genes that regulate stomatal development. We screened cotyledons from ethyl methanesulfonate-mutagenized seeds of Arabidopsis by light microscopy to identify mutants with altered stomatal morphology. Two mutants, designated too many mouths (t...

Abstract The classical Transfer-Matrix Method (TMM) is often used to calculate the input impedance of woodwind instruments. However, the TMM ignores the possible influence of the radiated sound from toneholes on other open holes. In this paper a method is proposed to account for external tonehole interactions. We describe the Transfer-Matrix Method with external Interaction (TMMI) and then comp...

Organic molecules characterized by high-spin ground states are of interest for many reasons, including their potential use as spin reservoirs in ferromagnetic organic materials. For the design of high-spin organic molecules having an even number of electrons, one typically tries to take advantage of Hund’s rule 4 in constructing systems biased towards having triplet ground states. That is, one ...

The photoelectron spectrum of the trimethylenemethane (TMM) negative ion is described. The electron affinity of TMM is found from the spectrum to be 0.431 6 0.006 eV, and the energy difference between the X̃ A9 2 and b̃ A1 states of TMM is determined to be 16.1 6 0.2 kcal/mol. The energy difference between the lowest energy triplet and singlet states is estimated to be 13–16 kcal/mol. The enthalp...

Machine learning techniques for automated musical genre classification are currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related features are extracted from audio signals and various machine learning algorithms are applied for cl...

Valves on the plant epidermis called stomata develop according to positional cues, which likely involve putative ligands (EPIDERMAL PATTERNING FACTORS [EPFs]) and putative receptors (ERECTA family receptor kinases and TOO MANY MOUTHS [TMM]) in Arabidopsis. Here we report the direct, robust, and saturable binding of bioactive EPF peptides to the ERECTA family. In contrast, TMM exhibits negligibl...

Machine learning techniques for automated musical genre classification is currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related features are extracted from audio signals and various machine learning algorithms are applied for cla...